AI Solution Implementation ★★★ Expert Level
Enabling actual AI-driven business change is a major challenge. You need to identify and choose the right opportunities, create focus, align with stakeholders and ensure you have a solid business implementation plan in place.
PLATFORM MANAGEMENT AND INFRASTRUCTURES
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AI Solution Implementation
- The 5-phase AI solution implementation process and its pitfalls
- Validating an opportunity and a proposed AI solution
- Sharpening the scope for an MVP version of the AI solution, based on validation outcomes
- Building implementation and test plans to ensure rapid solution implementation and enabling of feedback cycle
- Reviewing MVP feedback loop and proposing relevant improvements, per AI solution component
- AI solution development phases – explaining the differences between the AI solution development phases
- AI solution validation – formulating validation questions on AI Solution design & translate to sharper scope
- AI solution scope - challenging proposed AI Solution MVP-scope
- AI solution development - preparing a successful implementation by creating test & implementation plans
- AI solution improvement – translating feedback results to relevant improvement steps for AI solution